|
|
--- |
|
|
license: mit |
|
|
language: |
|
|
- tr |
|
|
library_name: transformers |
|
|
pipeline_tag: text-classification |
|
|
--- |
|
|
--- |
|
|
|
|
|
tags: |
|
|
- generated_from_trainer |
|
|
library_name: transformers |
|
|
--- |
|
|
|
|
|
# Your Model Name |
|
|
LugatitMultilingual |
|
|
|
|
|
## How to use |
|
|
|
|
|
You can use this model directly with the `transformers` library: |
|
|
|
|
|
```python |
|
|
from transformers import AutoTokenizer, AutoModelForSequenceClassification |
|
|
|
|
|
tokenizer = AutoTokenizer.from_pretrained("LugatitTurk/LugatitMultilingual") |
|
|
model = AutoModelForSequenceClassification.from_pretrained("LugatitTurk/LugatitMultilingual") |
|
|
|
|
|
inputs = tokenizer("Hello, my dog is cute", return_tensors="pt") |
|
|
outputs = model(**inputs) |
